Distributed Dissipative State Estimation for Markov Jump Genetic Regulatory Networks Subject to Round-Robin Scheduling - Shen, Hao; Huo, Shicheng; Yan, Huaicheng; Park, Ju H.; Sreeram, Victor (IEEE transaction on neural networks and learning systems, 2020)
Keywords: Convexity; Decoupling; Design of experiments; Discrete-time genetic regulatory networks (GRN); distributed dissipative state estimation; Genetics; Learning systems; Markov chains; Markov jump parameters; Markov processes; Network topologies; Network topology; Networks; Optimization; Robot sensing systems; round-robin scheduling (RRS); Scheduling; State estimation; Topology